Kolmogorov-Smirnov Statistic Compute the probability associated with the Kolmogorov-Smirnov statistic: \[ KS_{Statistic} = \sqrt{n} \cdot \mathop{\max}\limits_{1 \leq i \leq n}(f_i - \frac{i-1}{n},\frac{i}{n}-f_{i}) \](f = cummulative distribution function of the distribution function being tested). Computation limitations: Sample size, n; 2 ≤ n ≤ 1000, not necessary an integer. Calculated value of the Kolmogorov-Smirnov statistic, on the sample of size n, with at least five significant digits, KS; 0.3 ≤ KS ≤ 2. Return value: Probability to be observed a better agreement between the observed sample and the hypothetical distribution being tested. Is obtained with three significant digits. Limitation: 1.0E-7 ≤ min(p,1-p). Ref: A paper describing the procedure will be prepared. Calculation uses 42 coeficients obtained from a high resolution Monte-Carlo experiment. Compute for: n= KS= (low_p=)